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February 27, 2026

Nvidia

Unternehmensprofil und Marktanalyse

Erhalten Sie Einblicke in Geschäftsmodell, globale Ausrichtung und Marktperformance inklusive Positionierung in China.

Nvidia
Wichtige Fakten
Founded 1993 • Listed NASDAQ • Ticker NVDA • Fiscal Q4 ended Jan 25, 2026
$68.1 bn
Revenue (Q4 FY26)
$62.3 bn
Data Center revenue (Q4 FY26)
$43.0 bn
Net income GAAP (Q4 FY26)
75,0%
Gross margin GAAP (Q4 FY26)
$1.76
Diluted EPS GAAP (Q4 FY26)
$78.0 bn
Revenue outlook (Q1 FY27)

Über das Unternehmen

Founded on April 5, 1993, NVIDIA is headquartered in Santa Clara, California and was created to bring 3D graphics to gaming and multimedia. The company helped define the modern GPU, then expanded its role in parallel computing through CUDA, which opened GPUs to broader scientific and enterprise workloads. Over time, that shift moved NVIDIA from a graphics specialist toward accelerated computing for AI, simulation, and high performance computing.

Today NVIDIA positions itself as a full-stack computing infrastructure company that combines GPUs with data center CPUs, high-speed networking, and a large software layer. CUDA remains the core developer platform, supported by libraries and tools used for AI training and inference, data analytics, simulation, and 3D graphics. The business is organized around four end markets: Data Center, Gaming, Professional Visualization, and Automotive.

In recent product cycles, NVIDIA introduced the Blackwell data center platform and then announced the Rubin platform at CES in January 2026 as its next-generation roadmap for rack-scale AI systems. In the fourth quarter ended January 25, 2026, NVIDIA reported revenue of $68.1 billion, including Data Center revenue of $62.3 billion. For fiscal 2026, revenue totaled $215.9 billion.

Nvidia

Geschäftsmodell und Marktposition

NVIDIA designs accelerated computing platforms and sells them as silicon, boards, modules, systems, and software. Revenue is led by Data Center, with Gaming as the second pillar, plus smaller platforms in Professional Visualization and Automotive. In Q4 fiscal 2026 (ended January 25, 2026), NVIDIA reported $68.1 billion of revenue, including $62.3 billion from Data Center, $3.7 billion from Gaming, $1.3 billion from Professional Visualization, and $604 million from Automotive. Full-year fiscal 2026 revenue reached $215.9 billion, with Data Center at $193.7 billion, Gaming at $16.0 billion, Professional Visualization at $3.2 billion, and Automotive at $2.3 billion.

Kernaktivitäten

  1. Data Center compute platforms
    NVIDIA sells GPUs and integrated platforms for AI training and inference, analytics, graphics, and scientific computing. Products ship as PCIe cards, modules, and complete systems through cloud providers, OEMs, and server makers. In Q4 fiscal 2026, Data Center compute revenue was $51.3 billion, reflecting the ramp of Blackwell-based platforms.
  2. Networking for AI clusters
    NVIDIA sells InfiniBand and Ethernet networking for AI clusters, spanning adapters, switches, cables, DPUs, and fabric software. Spectrum-X is positioned as its Ethernet platform for AI data centers. In Q4 fiscal 2026, Data Center networking revenue was $11.0 billion.
  3. Rack-scale systems
    NVIDIA packages chips into rack-scale architectures using NVLink and system-level reference designs that scale across many GPUs, aimed at large training and inference clusters.
  4. Software licensing and platform services
    CUDA provides the programming model and libraries that underpin NVIDIA’s AI and HPC stack. Enterprise software is monetized through licensed offerings such as NVIDIA AI Enterprise and Omniverse Enterprise, sold with support and deployment tooling.
  5. Graphics and edge markets
    Gaming is driven by GeForce GPUs and services such as GeForce NOW. Professional Visualization centers on RTX workstation GPUs and related software. Automotive revenue is tied to DRIVE hardware and software sold into long program cycles with carmakers and suppliers.

Marktposition

NVIDIA’s moat comes from controlling compute, networking, systems, and software as one stack, which supports platform-level optimization and faster product refresh cycles. CUDA and its library ecosystem anchor developer adoption and raise switching costs for production AI workloads. Data Center results show the scale of that stack, with Q4 fiscal 2026 Data Center revenue split between compute ($51.3B) and networking ($11.0B).

Roadmap visibility extends beyond Blackwell. NVIDIA unveiled the Rubin platform and signaled early cloud deployments, with partner rollouts starting in the second half of 2026. In its Q1 fiscal 2027 outlook, NVIDIA stated it assumes no Data Center compute revenue from China, which frames geopolitics and export rules as a key constraint on incremental growth.

Nvidia

Performance in China

China remains an important end market for NVIDIA across GeForce gaming GPUs and RTX workstation products, plus legacy Data Center demand at cloud and internet platforms. By customer billing location, China (including Hong Kong) contributed $17.1 billion in fiscal 2025 revenue.

The trajectory turned more volatile in fiscal 2026 as U.S. export controls tightened around advanced AI chips and related systems. In the first nine months of fiscal 2026, China (including Hong Kong) revenue totaled $16.6 billion, with a sharp drop to $3.0 billion in Q3 (ended Oct 26, 2025) versus $8.1 billion a year earlier.  NVIDIA also disclosed no H20 sales to China-based customers in Q2 fiscal 2026.

In its Q4 fiscal 2026 update, NVIDIA’s Q1 fiscal 2027 outlook assumes no Data Center compute revenue from China, underscoring that China Data Center sales remain constrained.

Wachstum und Zukunftsaussichten

NVIDIA’s growth path is tied to the buildout of AI data centers and the shift from standalone accelerators to integrated platforms that bundle compute, networking, and software. In Q4 fiscal 2026 (ended January 25, 2026), revenue reached $68.1B, led by Data Center revenue of $62.3B. Full-year fiscal 2026 revenue totaled $215.9B, with Data Center at $193.7B.

The quarter also showed how fast the platform mix is moving. Data Center compute revenue was $51.3B and networking revenue was $11.0B in Q4, highlighting the rising share of fabrics, switches, and interconnect inside AI cluster deployments.  NVIDIA guided Q1 fiscal 2027 revenue to $78.0B (±2%).

Zu den wichtigsten Wachstumstreibern zählen:

  1. Blackwell ramp and system-level deployments
    Demand is moving toward validated racks and cluster-scale builds, which pull through GPUs, CPUs, NVLink, and networking as one platform.
  2. Networking attach as clusters scale
    As training and inference clusters expand, networking spend rises with them. Q4 Data Center networking reached $11.0B, up sharply year over year, which supports a larger per-deployment bill of materials.
  3. Inference-heavy workloads and installed base expansion
    NVIDIA is positioning Blackwell systems for inference at scale, which favors frequent capacity adds and refresh cycles across hyperscalers and enterprise buyers.
  4. Roadmap cadence beyond Blackwell
    NVIDIA unveiled the Rubin platform and stated Rubin-based products will be available from partners in the second half of 2026, which keeps the upgrade cycle active for large buyers planning multi-year AI factory builds.
  5. Software, models, and vertical solutions as stack expansion
    The company keeps pushing higher-level software and industry platforms on top of CUDA, reinforced by large partnerships across cloud and enterprise infrastructure.
  6. Automotive and robotics as longer-cycle options
    Automotive revenue was $604M in Q4 and $2.3B for fiscal 2026, supported by design wins and a growing robotics software stack, with monetization tied to product cycles and deployments.

Zu den bevorstehenden Herausforderungen gehören:

  • China-related limits on incremental Data Center growth, with NVIDIA’s Q1 fiscal 2027 outlook assuming no Data Center compute revenue from China.
  • Customer concentration and capex pacing, since a small set of large AI infrastructure buyers drives a big share of demand.
  • Competition from custom silicon and rival accelerators, especially where hyperscalers steer workloads toward in-house chips.
  • Execution risk in ramping rack-scale systems, where throughput depends on complex supply chains and full-platform availability.

Cash generation remains a strategic buffer. Q4 free cash flow was $34.9B, supporting reinvestment and shareholder returns.

Dieses Unternehmensprofil wurde von Dominik Diemer verfasst

Dominik Diemer verbindet eine Investorenmentalität mit Disziplin in der Umsetzung.

Er ist SAFe Program Consultant (SPC) und Lean Portfolio Management (LPM) Practitioner bei DMG MORI Digital und arbeitet als SAFe Release Train Engineer und interner Berater im Lean-Agile Center of Excellence (LACE).

Sein Schwerpunkt liegt auf Priorisierung, Fluss und Abhängigkeitsmanagement, um Strategien in Ergebnisse umzusetzen. Mit seiner Erfahrung bei Bertelsmann und der Founders Foundation schlägt er eine Brücke zwischen Unternehmens- und Start-up-Denken.

Er investiert auch privat in Private-Equity-Deals und schärft so seinen Blick für Geschäftsmodelle, Werttreiber und Markteinführung.

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